Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavior. It details the returned data (name, ecosystem, exchange listings with URLs, recent coverage, live price). However, it does not mention that the tool requires a ticker or any authorization/rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph of moderate length, starting with the core purpose and then providing usage examples. It is efficient but could benefit from clearer separation of output components or parameter hints.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters and an output schema, the description adequately covers the output richness but fails to fully explain input parameters. The presence of an output schema reduces the need to describe return values, but the parameter gap reduces completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description must compensate. It does not explain 'lang' or 'article_limit' parameters, and 'ticker' is only implied through examples. The description adds value by linking output components to language, but parameter semantics are largely missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides a 'detailed snapshot of a single token' with specific components (name, ecosystem, exchange listings, news, price). It distinguishes from sibling tools by focusing on individual tokens and includes example queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use when the user asks about a specific coin' and gives three concrete query examples. It does not directly mention alternatives, but the context of sibling tools and the clear scope imply appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.